NAME		
PRACTICAL/TUTORIAL  GROUP			

Unit Course book

Statistics

Course code:MthA 303 MS

Unit Coordinator
Hemin Qassim Rahman
2012/2013

Soran University

Faculty of Science
Department of Mathematics
Stage 3          

Undergraduate in Mathematics
Academic Year:2012-2013

Assistant Teacher :Hemin Qassim Rahman
E-mail: Heminq78@yahoo.com	
Mobile number: 0750 4791291 
Level of study: Third year 
Course Coordinator: Hawkar Qaqssim Birdawod 

Course Objective

      Modern statistical concepts and methods developed in a mathematical framework: statistical inference, some properties of point estimator, point and interval estimation (Confidence Intervals.), hypothesis testing, Neyman-Pearson theory

Grading

       The students are required to do two closed book exams before the final exam. Each exam has 15 marks, the attendance, classroom activities 10 marks. There will be final exam on 60 marks. So that the final grade will be based upon the following criteria: 
Mid-semester Exam: 30%
Classroom participation and assignments 10%
Final exam 60%
Attendance: 
Attendance is required and will be taken at the beginning of each class. If you must miss a class it is your responsibility to contact me to get your assignments

Course Material: Required Book:
1.	Statistical Inference 
د.ظافر حسين رشيد
د.عبدالمجيد حمزة
2.	Introduction to Mathematical Statistics ,By Hogg and Craig.
3.	Probability and Statistical Inference,By Hogg and Tanis
4.	Introduction to Probability Theory and Statistical Inference , By Harold j.Larson
5.	أمير حنا هرمز      الإحصاء الرياضى  
Course Contents

Week 1: Content, Reference and Introduction to Statistical Inference. 
Week 2: Chapter One: Some definition of statistic Inference       Some Parametric distribution.
Week 3: Independent random variable.
Week 4: Transformation of variable.
Week 5: Order Statistics.
Week 6: Independent random variable of Order Statistics.
Week 7: Chapter two: Method of estimator:
                  i) moment method
Week 8: ii) Likelihood estimation  and  same method.
Week 9: Chapter three: Properties of point estimator :
    	i) Unbiasedness.
Week 10: ii)Mean squired error. 
              iii) Efficiency .
Week 10: iv)Consistency. 
Week 12: v) Sufficiency .
Week 13: Exponential Family. 
Week 14: Rao-Blakwell theorem. 
Week 15: vi) Completeness of estimator
Week 16: Fisher Information .
Week 17: Cramer-Rao Inequality.
Week 18: Chapter Four: Confidence Interval estimator for mean µ.
Week 19: Confidence Interval estimator for variance δ2 .
Week 20: Chapter Five : statistical Hypotheses : 
                 Some definition of them
Week 21: Neyman pearson theorem. 
Week 22: Uniformly Most powerful test. 
Week 23:The  Likelihood  ratio test.
Please note:  
•	Schedule changes may occur during the semester Any changes will be announced in class.
•	The student is responsible for all assignments, changes in assignments, or other         verbal information given in the class, whether in attendance or not.